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tmt
View on CRAN: Click
here
Download and install tmt package within the R console
Install from CRAN:
install.packages("tmt")
Install from Github:
library("remotes")
install_github("cran/tmt")
Install by package version:
library("remotes")
install_version("tmt", "0.3.4-0")
Attach the package and use:
library("tmt")
Maintained by
Jan Steinfeld
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-01
Latest Update: 2022-05-17
Description:
Provides conditional maximum likelihood (CML) item parameter estimation of sequential as well as cumulative deterministic multistage designs (Zwitser & Maris, 2015, <doi:10.1007/s11336-013-9369-6>) as well as probabilistic sequential and cumulative multistage designs (Steinfeld & Robitzsch, 2021, <doi:10.31234/osf.io/ew27f>). Supports CML item parameter estimation of conventional linear designs and additional functions for the likelihood ratio test (Andersen, 1973, <doi:10.1007/BF02291180>) as well as functions for the simulation of several kinds of multistage designs.
How to cite:
Jan Steinfeld (2019). tmt: Estimation of the Rasch Model for Multistage Tests. R package version 0.3.4-0, https://cran.r-project.org/web/packages/tmt. Accessed 30 Jan. 2025.
Previous versions and publish date:
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Other R packages that tmt depends,
imports, suggests or enhances
Complete documentation for tmt
Functions, R codes and Examples using
the tmt R package
Some associated functions: tmt-package . tmt_gmc . tmt_lrtest . tmt_mstdesign . tmt_msttemplate . tmt_rm . tmt_sim .
Some associated R codes: RcppExports.R . data_processing_mst.R . data_processing_nmst.R . helper_functions.R . lrtest.mst.R . lrtest.nmst.R . print_functions.R . raschmodel.mst.R . raschmodel.nmst.R . sim.rm.R . summary_functions.R . tmt_gmc.R . tmt_lrtest.R . tmt_mstdesign.R . tmt_msttemplate.R . tmt_rm.R . tmt_sim.R . z.R . Full tmt package functions and examples
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